Harden every layer
Apply security baselines across every vendor and layer, and reduce your attack surface before attackers find it.
For AI Data Center
Lava maps your entire AI data center stack, from GPUs and fabrics to BMCs and DPUs, in a single context graph, so you can understand your urgent risks and fix them.
THE PROBLEM
AI data centers run on new infrastructure: GPUs, DPUs, and GPU fabrics like NVLink, InfiniBand, and more. Traditional security tools were not designed to see or secure these systems. Firmware often goes unpatched, because updates require downtime and risk breaking production. And with risk spread across many layers, there’s no single view of impact and urgency.
WHAT LAVA DOES
Agentless discovery gives full inventory and posture on day one, across every layer and vendor.
Apply security baselines across every vendor and layer, and reduce your attack surface before attackers find it.
Continuously detect misconfigurations and drift across GPU nodes, DPUs, fabrics and management planes before they become security gaps.
Firmware attested, with versions and CVEs ranked by real exploitability. You’ll have an up-to-date view of what’s running on every node and appliance, and that it’s what was signed.
Focus on the risks attackers can actually exploit, instead of dealing with thousands of isolated alerts.
Know the moment an asset in your AI data center is attacked or tampered with.
Identify weak or shared credentials and over-privileged accounts across the entire stack.